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AI learning refers to the process by which artificial intelligence systems acquire knowledge and improve their performance over time. This typically involves two main approaches: supervised learning (where models are trained on labeled datasets to make predictions or classifications) and unsupervised learning (where patterns and structures are identified in unlabeled data)
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